CONTRIBUTION OF THE ARMS IN THE SPRINT START AND THEIR INFLUENCE ON FORCE AND VELOCITY CHARACTERISTICS

The purpose of this case study was to quantify the contribution of the arms in the sprint start and compare the difference in force and velocity characteristics when arm forces are not accounted for. One elite student athlete performed 6 starts with the same block position whilst forces were measured independently for front and rear legs and left and right hands. The arms were found to apply force for 0.14s, initiated a peak force of 593N (0.83 BW) and accounted for 18% of the total vertical impulse generated. Inclusion of the arm forces increased the first vertical peak force by 118N, movement time by 0.03s, vertical toe-off velocity by 0.6m/s and projection angle by 10 degrees. Differences in vertical velocity and projection angle were halved by modifying the vertical system load to BW at the onset of movement. Peak horizontal forces and velocities were similar

Ranking algorithms for implicit feedback

This report presents novel algorithms to use eye movements as an implicit relevance feedback in order to improve the performance of the searches. The algorithms are evaluated on "Transport Rank Five" Dataset which were previously collected in Task 8.3. We demonstrated that simple linear combination or tensor product of eye movement and image features can improve the retrieval accuracy

Underserved Adoptive Families: Disparities in Postadoption Access to Information, Resources, and Services

Parents who adopt children from the U.S. foster care system typically do so with assurances from the state that postadoption services will be accessible by the family, if needed, after the adoption is finalized. From the state’s perspective, the foremost purpose of these services is to ensure that the family remains intact, thereby avoiding adoption dissolution—a traumatic and costly outcome whereby the child is returned to state custody. This study looks specifically at underserved adoptive families—those who report needing specific services after adoption finalization, yet who are then unable to access these needed services through the state because of various barriers. Data for the study came from the 2012 U.S. National Adoptive Families Study, an online survey of adoptive parents (N=437) who have adopted at least 1 child from the U.S. foster care system. The data show that specific demographic groups are disproportionately represented among underserved adoptive families, and that certain critically needed postadoption services are rarely rendered by the state. The results also suggest that particular state practices and policies systematically lead to higher rates of underserved adoptive families

GA-Auto-PU: A genetic algorithm-based automated machine learning system for Positive-Unlabeled learning

Positive-Unlabeled (PU) learning is a growing field of machine learning that now consists of numerous algorithms; the number is now so large that considering an extensive manual search to select the best algorithm for a given task is impractical. As such, the area of PU learning could benefit from an Automated Machine Learning (Auto-ML) system, which selects the best algorithm for a given input dataset, among a pre-defined set of candidate algorithms. This work proposes such with GA-Auto-PU, a Genetic Algorithm-based Auto-ML system that can generate PU learning algorithms. Experiments with 20 real-world datasets show that GA-Auto-PU significantly outperformed a state-of-the-art PU learning method

Tesseract CubeSat Bus with Deployable Solar Panels

This project will aim to create a new CubeSat satellite structure that incorporates new subsystems to increase the manufacturability and versatility of PolySat’s standard satellite architecture. This new structure will incorporate deployable solar panels into the system, increasing power generation for the satellite. The structure of the CubeSat is vital to the overall system’s performance, and developing a standard high-performance system will allow for the integration of various payloads while minimizing the need for mission-specific customizations. This project will also allow for a majority of the structure to be manufactured in-house in the Cal Poly machine shops, allowing for the direct application of learn-by-doing. The integration of deployable solar panels will also involve design and fabrication of circuit boards. To complete these goals, we will leverage experience that we have had with the design and construction of previous CubeSats. Moreover, students have a chance to incorporate design processes that they have learned in various Cal Poly courses. This new structure will allow us to push the limits on what we can do with our already powerful CubeSat design. The design will allow us to provide higher performance to possible project sponsors, thus increasing the chance of winning future project proposals. Winning project proposals not only brings in funding for PolySat research projects, but also facilitates campus-wide development by bringing in additional funds for the university

Rapid Pole Climbing with a Quadrupedal Robot

This paper describes the development of a legged robot designed for general locomotion of complex terrain but specialized for dynamical, high-speed climbing of a uniformly convex cylindrical structure, such as an outdoor telephone pole. This robot, the RiSE V3 climbing machine—mass 5.4 kg, length 70 cm, excluding a 28 cm tail appendage—includes several novel mechanical features, including novel linkage designs for its legs and a non-backdrivable, energy-dense power transmission to enable high-speed climbing. We summarize the robot’s design and document a climbing behavior that achieves rapid ascent of a wooden telephone pole at 21 cm/s, a speed previously unachieved—and, we believe, heretofore impossible—with a robot of this scale. The behavioral gait of the robot employs the mechanical design to propel the body forward while passively maintaining yaw, pitch, and roll stability during climbing locomotion. The robot’s general-purpose legged design coupled with its specialized ability to quickly gain elevation and park at a vertical station silently with minimal energy consumption suggest potential applications including search and surveillance operations as well as ad hoc networking

Anisotropic thermodynamic and transport properties of single crystalline CaKFe4_{4}As4_{4}

Single crystalline, single phase CaKFe$_{4}$As$_{4}$ has been grown out of a high temperature, quaternary melt. Temperature dependent measurements of x-ray diffraction, anisotropic electrical resistivity, elastoresistivity, thermoelectric power, Hall effect, magnetization and specific heat, combined with field dependent measurements of electrical resistivity and field and pressure dependent measurements of magnetization indicate that CaKFe$_{4}$As$_{4}$ is an ordered, stoichiometric, Fe-based superconductor with a superconducting critical temperature, $T_c$ = 35.0 $\pm$ 0.2 K. Other than superconductivity, there is no indication of any other phase transition for 1.8 K $\leq T \leq$ 300 K. All of these thermodynamic and transport data reveal striking similarities to that found for optimally- or slightly over-doped (Ba$_{1-x}$K$_x$)Fe$_2$As$_2$, suggesting that stoichiometric CaKFe$_4$As$_4$ is intrinsically close to what is referred to as "optimal-doped" on a generalized, Fe-based superconductor, phase diagram. The anisotropic superconducting upper critical field, $H_{c\text{2}}(T)$, of CaKFe$_{4}$As$_{4}$ was determined up to 630 kOe. The anisotropy parameter $\gamma(T)=H_{c\text{2}}^{\perp}/H_{c\text{2}}^{\|}$, for $H$ applied perpendicular and parallel to the c-axis, decreases from $\simeq 2.5$ at $T_c$ to $\simeq 1.5$ at 25 K which can be explained by interplay of paramagnetic pairbreaking and orbital effects. The slopes of $dH_{c\text{2}}^{\|}/dT\simeq-44$ kOe/K and $dH_{c\text{2}}^{\perp}/dT \simeq-109$ kOe/K at $T_c$ yield an electron mass anisotropy of $m_{\perp}/m_{\|}\simeq 1/6$ and short Ginzburg-Landau coherence lengths $\xi_{\|}(0)\simeq 5.8 \text{\AA}$ and $\xi_{\perp}(0)\simeq 14.3 \text{\AA}$. The value of $H_{c\text{2}}^{\perp}(0)$ can be extrapolated to $\simeq 920$ kOe, well above the BCS paramagnetic limit.Comment: 13 pages, 15 figures, part of arXiv:1606.02241 is include